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This thesis is focused on the development of sample-efficient algorithms for personalized data-driven decision … decision performance. In the case of offline reinforcement learning, Chapter 5 presents a finer regret analysis that …
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“Behavioural insights”, or insights derived from the behavioural and social sciences, including decision making …
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It is often claimed that participation empowers local actors and that an inclusive decision-making process is crucial … for rural development. We aim to investigate how formal and informal rules are set in local decision-making processes and …
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We study a model of collective decision making with endogenous information collection.Agents collect information about … decision is made. The reason for this result is that communicationmay aggravate the free-rider problem associated with …
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